Member of Technical Staff, AI Evaluation at STAAC Professional E-Learning | Torre

Member of Technical Staff, AI Evaluation

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Full-time

Legal agreement: Employment

Compensation
USD200k - 300k/year
Non-negotiable
location_on
Remote (for United States residents)
Remote (for Canada residents)
Posted 3 days ago

Responsibilities


About this role We are looking for a Member of Technical Staff, AI Evaluation with 5+ years of experience, blending physical engineering (mechanical, electrical, aerospace, robotics) and AI evals, to own how we measure Archie, our AI engineer for the physical world. You'll build the evaluation framework that shows how Archie compares to human engineers and what it takes to grow him from junior to senior engineer, and eventually to engineering superintelligence. What will you be doing? Own Archie's evaluation framework from scratch, defining what "good" engineering design looks like when there's no single right answer Work with engineering SMEs, customers, partners and internal teams to learn how top engineers work and where Archie succeeds or fails Recreate real-world engineering tasks and failure modes in evaluation environments that the dev teams can rerun Design and refine automated judges and human evaluation processes, and check that judges match expert human judgment Turn eval results into clear priorities for improving Archie's engineering reasoning Key Requirements 5+ years of experience across physical engineering and/or AI work. The ideal candidate is strong in both, but deep strength in one with working knowledge of the other is fine Hands-on AI evaluation experience: building eval tasks, designing judges, and running human evaluation for agentic systems Physical engineering background (mechanical, electrical, aerospace, robotics, power systems), enough to recognize strong engineering design The presence and confidence to lead work across SMEs, customers and cross-functional teams in a high-ownership role Experience in scrappy, early-stage environments building new things from scratch (physical AI or robotics companies a plus) Role details Salary $200K - $300K Remote work policy US or Canada-based (remote), with on-site work one week every 6 weeks in San Mateo, CA. Relocation decided case by case. Full-time position Location United States, Canada, San Mateo, CA Equity Competitive equity Visa sponsorship details Not open to any visas (e.g. US citizen, Green Card holders) Hiring Count Looking to hire 1 candidate for this role Tech stack Agentic AI Systems, AI Evaluation Frameworks, Automated Judges (LLM-as-a-Judge), Human-in-the-loop Evaluation, Evaluation Environments, SFT, RLVR, Engineering Design Tools Requirements By tier By category Hear the hiring manager detail the role requirements 00:49 Calibrate a candidate in Parabot. to see how well they fit the requirements. Dealbreaker Work experience Experience with AI evaluations (creating evaluation tasks,​ designing judges,​ comparing automated evaluations to human judgment) Hard skills Understanding of agentic AI systems Updated Miscellaneous Located in the United States or Canada (remote) or San Mateo,​ CA Updated Baseline Seniority 5 -​ 15 years of experience as a Member of Technical Staff,​ AI engineer,​ or AI research scientist Education Technical background in a physical engineering domain such as mechanical engineering,​ aerospace,​ robotics,​ or power systems Soft skills Experience working directly with customers,​ subject matter experts,​ partners,​ and cross-​functional technical teams Updated Miscellaneous Ability to travel to the San Mateo,​ CA office one week every 6 weeks Updated Nice-to-have Work experience Experience at physical AI or robotics companies (e.​g.​ Applied Intuition) Updated Experience doing zero-​to-​one work in early-​stage startup environments Updated Traits to avoid Pattern of short tenures (multiple consecutive stints of 12 to 18 months) Updated No obvious physical engineering or AI evals experience Member of Technical Staff, AI Evaluation Full-time Remote United States $200K - $300K How actively is this candidate exploring new opportunities?
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